Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Iaf	442	5 years ago	13	mit	Python
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
Good Papers	231	5 years ago	1
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Icml2015_papers	143	9 years ago			Python
Links to ICML 2015 papers available on arxiv
Ml Readings	94	2 years ago		mit	Jupyter Notebook
A list of papers / videos / tutorials / blog posts on machine learning
Causalskilllearning	21	3 years ago	1	other	Python
Codebase for project about unsupervised skill learning via variational inference and causality.
Autoreparam	20	4 years ago	1	apache-2.0	Python
Automatic Reparameterisation of Probabilistic Programs
Graphbtm	19	5 years ago			Python
Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
Variational_gradient_matching_for_dynamical_systems	18	5 years ago	1		Jupyter Notebook
Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
Vimco	18	4 years ago		mit	Python
Implementation of "Variational Inference for Monte Carlo Objectives"
Bayesianrnn	16	6 years ago			Jupyter Notebook
Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.

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Iaf ⭐ 442

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

most recent commit 5 years ago

Good Papers ⭐ 231

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

most recent commit 5 years ago

Icml2015_papers ⭐ 143

Links to ICML 2015 papers available on arxiv

most recent commit 9 years ago

Ml Readings ⭐ 94

A list of papers / videos / tutorials / blog posts on machine learning

most recent commit 2 years ago

Causalskilllearning ⭐ 21

Codebase for project about unsupervised skill learning via variational inference and causality.

most recent commit 3 years ago

Autoreparam ⭐ 20

Automatic Reparameterisation of Probabilistic Programs

most recent commit 4 years ago

Graphbtm ⭐ 19

Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.

most recent commit 5 years ago

Variational_gradient_matching_for_dynamical_systems ⭐ 18

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

most recent commit 5 years ago

Vimco ⭐ 18

Implementation of "Variational Inference for Monte Carlo Objectives"

most recent commit 4 years ago

Bayesianrnn ⭐ 16

Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.

most recent commit 6 years ago

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